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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Apr 04, 2022
1.04 GB
Publicly accessible
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Authors
Ahmmed, B. Stanford University
geothermalenergymachine learningartificial intelligenceaiexplorationmodelmodelingprocessed datatraining datatraining datasetremote sensinghidden geothermal resourcesresource detectiondiscoverydevelopmentresourceneural networkprediction

GIS Resource Compilation Map Package Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
831.16 MB
Publicly accessible
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups incl...
Authors
Brown, S. et al Nevada Bureau of Mines and Geology
geothermalenergynevadamachine learningmap packagegispcanmfbnnannelmgeochemistrygeophysicsheat flowslip and dilationstructureplay fairwaypfaexplorationcharacterizationgreat basindlipdilationgeodatabasehydrothermaldatamodelsprocessed datapaleo-geothermal featurestest sittessupervisedunsupervisedcultural

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

Sep 01, 2020
109.94 MB
Publicly accessible
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeothermal explorationhydrothermal mineral alterationsland surface temperaturefault densitypsinsarsubsidenceupliftbrady hot springsdesert peaknevadaconvolutional neural networkfallonmachine learningmodelhydrothermalmineraltemperaturerastergeospatial datageotifftraining datatraining dataset

Stanford Thermal Earth Model for the Conterminous United States

Mar 14, 2024
21.57 GB
Publicly accessible
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Authors
Aljubran, M. and Horne, R. Stanford University
thermal earth modeltemperaturegeothermalenergystanfordtemperature-at-depthheat flowrock thermal conductivityinterpignnphysics-informedgraph neural networksmachine learningmodeltemperature modelarcgisapimodel inputsmodel outputsdata-drivenspatial interpolationalgorithmheat conductionbottomhole temperature

Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study

Apr 30, 2022
15.3 MB
Publicly accessible
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Authors
Vasco, D. and Chan, C. Array Information Technology
geothermalenergyseismic velocity modelseismic resolution3d p-wave3d s-waveseismicraw dataprocessed datawell 16a-32utah forge

Design of an Airlift Bioreactor

Mar 13, 2017
417.07 kB
Publicly accessible
An important consideration for the process design is cell immobilization-enabled flow-through operation. Large-scale biosorption relies on cells that are immobilized on a supporting substrate and used to 'attract' metal ions. Cell immobilization allows easy separation of the feed...
Authors
Jiao, Y. et al Lawrence Livermore National Laboratory
geothermalenergybioreactorairliftrare earthbiosorptionadsorptionreebiofilmresource recoverybioadsorption

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell

Poroelastic References

Dec 12, 2014
8.27 kB
Publicly accessible
This file contains a list of relevant references on the Biot theory (forward and inverse approaches), the double-porosity and dual-permeability theory, and seismic wave propagation in fracture porous media, in RIS format, to approach seismic monitoring in a complex fractured porou...
Authors
Morency, C. Lawrence Livermore National Laboratory
geothermalbiot theorydouble porositydual permeabilityfracturebiotrisdouble-porositydual-permeabilityseismic wave propagationporousfracture porous mediaseismic monitoringbrady

Nevada Great Basin Play Fairway Analysis Steptoe Valley

Oct 29, 2015
386.81 MB
Publicly accessible
All datasets and products specific to the Steptoe Valley model area. Includes a packed ArcMap project (.mpk), individually zipped shapefiles, and a file geodatabase for the northern Steptoe Valley area; a GeoSoft Oasis montaj project containing GM-SYS 2D gravity profiles along the...
Authors
Faulds, J. Nevada Bureau of Mines and Geology
geothermalgreat basinsteptoe valleybasinarcmapspreadsheetgeologic mapwell dataseismic reflectionseismic linesgravityshapefile3d modelgeodatabasearcgisgisgeospatial datageologygeophysicsmappfaplay fairway analysisnv great basin

Modeling Responses of Naturally Fractured Geothermal Reservoir to Low-Pressure Stimulation

Jan 01, 2012
4.09 MB
Publicly accessible
Hydraulic shearing is an appealing reservoir stimulation strategy for Enhanced Geothermal Systems. It is believed that hydro-shearing is likely to simulate a fracture network that covers a relatively large volume of the reservoir whereas hydro-fracturing tends to create a small nu...
Authors
Fu, P. and Carrigan, C. Lawrence Livermore National Laboratory
geothermalhydraulic fracturinghydraulic shearingreservoir stimulationreservoir modelingdiscrete fracture networkenhanced geothermal systemegshydro-shearing

Triggered MEQ Events on LBNL Permanent Seismic Array, Brady's EGS, March 2016

Jun 01, 2016
83.98 kB
Publicly accessible
List of triggered events recorded on LBNL's permanent EGS seismic array at Brady's geothermal field. This submission also includes links to the NCEDC EGS Earthquake Catalog Search page and to the metadata for the seismic array installed at Brady's Geothermal Field.
Authors
Robertson, M. University of Wisconsin
geothermalporotomoegsseismic monitoringseismic networkseismicitymicroseismicityinduced seismicitymeqbradybradys geothermal fieldbradys hot springsearthquake catalogearthquakestimulationgeophysicsgeophysicalseismic

Newberry EGS Seismic Velocity Model

Oct 01, 2013
4.2 MB
Publicly accessible
We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW ...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalegsvelocityreservoirseismic velocitycross-correlationmodelgeophysicsnewberry

Washington State Play Fairway Analysis Passive Monitoring of St. Helens Shear Zone for Tomography and Precision Microseismic Event Detection

Oct 03, 2017
16.49 MB
Publicly accessible
Data resources were derived from a passive seismic survey of the northern St. Helens Shear Zone on geothermal leases 12-24 km north of Mount St. Helens for phase 2 of the Geothermal Play-Fairway Analysis of Washington State Prospects. A 20 seismic station array of broadband seismo...
Authors
Swyer, M. et al AltaRock Energy Inc
geothermalenergyexplorationpassive seismic monitoringpassive seismic tomographyambient noise tomographymicro-seismicitywashington statest. helens shear zonemount st. helensvpvsvp/vsfocal mechanismsrelocated seismic eventsmt st helensmount saint helensmt saint helensvelocityseismicsite assessmentresource assessmentsite investigationpfatomographygeophysics

Using Fully Coupled Hydro-Geomechanical Numerical Test Bed to Study Reservoir Stimulation with Low Hydraulic Pressure

Jan 31, 2012
6.63 MB
Publicly accessible
This paper documents our effort to use a fully coupled hydro-geomechanical numerical test bed to study using low hydraulic pressure to stimulate geothermal reservoirs with existing fracture network. In this low pressure stimulation strategy, fluid pressure is lower than the minimu...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalreservoir modelinghydraulic shearinghydraulic fracturingfracturereservoir stimulationlow pressurestimulation

Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Mar 09, 2018
9.74 MB
Publicly accessible
Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...
Authors
Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory
geothermalenergyegsco2carbon dioxidepush-pullpressure-transient testingitough2sensitivity analysisinverse modelingparameter estimationinconpesttough2fault modelinggf6bradyfaultingfaultfracturecharacterizationstimulation

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical

WISE-CASING: Frequency Domain EM Data from Cymric Oil Field, CA

Apr 30, 2019
1.02 MB
Publicly accessible
Cymric oil field frequency domain electromagnetic (FEM) data with two parts of data labeled Part 1 and Part 2. Part 1 utilizes an electrical source line parallel to the receiver line, while Part 2 utilizes an electrical source line at a 75 deg angle to the receiver line. Data are ...
Authors
Wang, J. et al Lawrence Berkeley National Laboratory
geothermalenergyemgeophysicsfemfield testfield dataexperiment5hz1hzcross-sectionalem datacymric fieldelectromagneticcaliforniakern countywellborewellcasingintegritygeophysicalfdemwise-casinglow frequencypotential fieldelectric fieldmodelforwardmodelingmodellingsimulationfielddataelectrostaticresponsenumericalsimulatedfrequency domaincorrosionborehole2-8cymricoilsteam floodsensingassessment

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

Geothermal Play-Fairway Analysis of Washington State Prospects: Final Report

Sep 30, 2021
Size unavailable
Publicly accessible
This package includes the final technical report for the Play-Fairway project in Washington State. It includes all activities and reporting from phases 1, 2, and 3. The primary goal of this study is to develop a suite of tools and methods that help identify a ?fairway? where the t...
Authors
Steely, A. et al Washington Geological Survey
geothermalenergyplay-fairwaywashingtonpfareportmt surveyspassive-seismic surveyspotential-field surveyspassive seismic surveyspotential field surveyselectrical resistivity surveysgeologic mappinggeochronologypermeabilitymodelmodelsheat potentialgps time serieswellmud loggingcore handling

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

Aug 30, 2024
743.47 MB
Publicly accessible
This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...
Authors
Jogineedi, R. et al GTI Energy
geothermalenergycommunity geothermalgeothermal sizingborehole testinggeothermal heat pumpworkforce developmentbuilding energy modelingground heat exchangergeothermal network designcommunity engagementcommgeohinesburgvermontmodelicaenergyplusonepipepythonmodelingthermal conductivity testreportenergy modelborehole designhourly energy loadssizinggeothermal loop sizingsystem designdevelopment

Utah FORGE: Discrete Fracture Network (DFN) Data

Jun 24, 2020
10.65 GB
Publicly accessible
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Authors
Finnila, A. and Podgorney, R. Golder Associates Inc.
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsdiscrete fracture networkdfnfracture modellingmilfordmodelingfracturehydroshearinflatedpore pressurestressfracmanstimulationdrillingpressuregoldersimulationreservoir planninghydraulic fracturing

Directional Cooling-Induced Fracturing: Directional Cooling Data Under True-Triaxial Stress State

Jul 01, 2022
1.96 GB
Publicly accessible
Data includes Directional Cooling-Induced Fracturing (DCIF) testing data using westerly granite blocks. This submission includes data from two samples of westerly granite, lab sample 7 and 8. Files contain stress, temperature and acoustic emission data acquired during polyaxial, l...
Authors
Trzeciak, M. University of Wisconsin Madison
geothermalenergystressstress testacoustic emissionaetriaxialtrue-triaxialdirectional coolinggranitewesterly granitesamplerocktestingtestdirectional cooling induced fracturingdciffracturingfailure

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada
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